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fix mmlu
Browse files
tasks.py
CHANGED
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@@ -10,6 +10,7 @@ from functools import partial
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from .utils import *
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from evaluate import load
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def fake_pipeline(prompts: Iterable[str]) -> list[str]:
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@@ -78,12 +79,12 @@ class Task:
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+ example[self.label_column],
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}
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)[self.input_column]
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few_shot_prompts = "\n".join(shots)
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test_ds = test_ds.map(
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lambda example: {
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self.input_column: few_shot_prompts
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+ "\n"
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+ example[self.input_column],
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}
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)
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@@ -177,6 +178,9 @@ class Metrics:
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class CMMLU:
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def prompt_cmmlu(example, chat=False):
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prefix = "以下是一道多项选择题,请从A、B、C和D中选择最合适的答案作为这个问题的答案。\n\n" if chat else "问题:"
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prompt = prefix + example["Question"]
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@@ -283,31 +287,34 @@ class CMMLU:
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"Test": ["computer science"],
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}
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finer_categories = (
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pd.Series(subcategories) # noqa # type: ignore
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.explode()
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.reset_index()
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.set_index(0)
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.groupby(0)
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.agg(list)["index"]
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.to_dict()
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)
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@classmethod
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def suite(cls, chat=False):
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for k, v in cls.categories.items():
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for subject in v:
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suite[k]
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(
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return suite
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@@ -390,9 +397,6 @@ class MMLU:
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}
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categories = {
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"Math": [
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"math",
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],
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"STEM": [
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"physics",
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"chemistry",
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@@ -409,26 +413,7 @@ class MMLU:
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"geography",
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"psychology",
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],
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"
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"All": [
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"physics",
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"chemistry",
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"biology",
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"computer science",
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"math",
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"engineering",
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"history",
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"philosophy",
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"law",
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"politics",
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"culture",
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"economics",
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"geography",
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"psychology",
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"other",
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"business",
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"health",
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],
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"Test": ["culture"],
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}
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@@ -443,19 +428,21 @@ class MMLU:
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.agg(list)["index"]
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.to_dict()
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)
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suite =
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for k, v in cls.categories.items():
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for subject in v:
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suite[k]
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(
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return suite
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from .utils import *
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from evaluate import load
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from collections import defaultdict
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def fake_pipeline(prompts: Iterable[str]) -> list[str]:
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+ example[self.label_column],
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}
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)[self.input_column]
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few_shot_prompts = "\n\n".join(shots)
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test_ds = test_ds.map(
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lambda example: {
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self.input_column: few_shot_prompts
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+ "\n\n"
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+ example[self.input_column],
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}
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)
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class CMMLU:
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input_column = "prompt"
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label_column = "Answer"
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def prompt_cmmlu(example, chat=False):
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prefix = "以下是一道多项选择题,请从A、B、C和D中选择最合适的答案作为这个问题的答案。\n\n" if chat else "问题:"
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prompt = prefix + example["Question"]
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"Test": ["computer science"],
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}
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@classmethod
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def suite(cls, chat=False):
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finer_categories = (
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pd.Series(cls.subcategories) # noqa # type: ignore
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.explode()
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.reset_index()
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.set_index(0)
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.groupby(0)
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.agg(list)["index"]
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.to_dict()
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)
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suite = defaultdict(list)
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for k, v in cls.categories.items():
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for subject in v:
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suite[k].extend(
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[
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Task(
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("haonan-li/cmmlu", subcategories),
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metric_name=("sustech/tlem", "cmmlu"),
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input_column=cls.input_column,
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label_column=cls.label_column,
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prompt=partial(cls.prompt_cmmlu, chat=chat),
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few_shot=0 if chat else 5,
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few_shot_from="dev",
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)
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for subcategories in finer_categories[subject]
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]
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)
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return suite
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}
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categories = {
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"STEM": [
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"physics",
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"chemistry",
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"geography",
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"psychology",
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],
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"other": ["other", "business", "health"],
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"Test": ["culture"],
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}
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.agg(list)["index"]
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.to_dict()
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)
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suite = defaultdict(list)
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for k, v in cls.categories.items():
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for subject in v:
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suite[k].extend(
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[
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Task(
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("lukaemon/mmlu", subcategories),
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metric_name=("sustech/tlem", "mmlu"),
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input_column=cls.input_column,
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label_column=cls.label_column,
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prompt=partial(cls.prompt_mmlu, chat=chat),
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few_shot=0 if chat else 5,
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few_shot_from="validation",
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)
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for subcategories in finer_categories[subject]
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]
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)
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return suite
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